Fraud Prevention Analyst

Job description

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world. ## **About the Role** Binance is seeking a **Fraud Prevention Analyst** to join our Brazil fraud team, focused on transactional monitoring, investigation, and fraud prevention within the **Pix** ecosystem. This role is central to our **fiat** operating channel, this is a high-volume, high-accountability function where timeliness and attention to detail are needed. **Key Responsibilities:** - Monitor and action alerts generated by anti-fraud rules and tooling. - Investigate suspicious accounts and transactions, including beneficiary chains traced by MED 2.0 (up to 5 layers). - Execute, within delegated authority, precautionary blocks, account blocks, and relationship terminations. - Handle **MED (Mecanismo Especial de Devolução)** requests — both received and sent — within the deadlines set by the Pix Regulation, including the 7-day merit-analysis clock (weekends and Brazilian holidays included). - Record and query fraud markings in **DICT** and comply with all applicable regulatory flows. - Request information and documents from customers and track responses through to resolution. - Prepare analysis dossiers with clear, objective, well-founded reasoning. - Escalate cases with indications of money laundering (AML/TF) to the Compliance/PLD-FTP area for assessment of reporting to COAF. - Identify false positives and propose parameter adjustments and new detection rules. - Track key indicators: alert volume, response time, false-positive rate, and amounts blocked and recovered. ## **Essential Requirements** - Minimum **2 years** of experience in fraud prevention or transaction monitoring within a financial institution or payment institution. - Hands-on experience with **Pix**: MED, precautionary blocking, DICT, and fraud markings. - Knowledge of the main fraud typologies affecting banking and payment rails. - Working knowledge of AML/CFT (PLD/FTP), banking secrecy, and LGPD. - Strong writing skills for producing opinions, dossiers, and formal communications. - Fluency in Portuguese; working proficiency in English (Binance is a global organization and you will need to deal with global teams on a daily basis). - Education: Bachelor's degree (Ensino Superior) minimum. **Nice to Have** - Experience parameterizing or calibrating anti-fraud rules. - Familiarity with high-value vs. low-value case triage workflows. **Why Binance** - Shape the future of finance - Collaborate with world-class talent in a user-centric global organization with a flat structure - Tackle challenging projects in a fast-paced and innovative enviornment with autonomy - Thrive in a results-driven workplace with opportunities for career growth and continuous learning - Competitive salary and company benefits - Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team) Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. By submitting a job application, you acknowledge that you have read our [Candidate Privacy Notice](https://www.binance.com/en/candidate/privacy/notice). We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.